yungmsh

Kaggler

Code for Kaggle Data Science Competitions

causalml

Uplift modeling and causal inference with machine learning algorithms

amazon-sagemaker-examples

Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

DeepLearning

Deep Learning (Python, C, C++, Java, Scala, Go)

Galvanize-Lecture-Notes

Galvanize (Cohort 16) lecture notes

Heavy-Equipment-Case-Study

Heavy Equipment Case Study as part of Galvanize Cohort 16.

mining_the_common_app

Mining the Common App (Capstone Project @ Galvanize)

nielsen-dma

yungmsh/mining_the_common_app

Mining the Common App (Capstone Project @ Galvanize)

yungmsh/amazon-sagemaker-examples

Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker

yungmsh/courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

yungmsh/DeepLearning

Deep Learning (Python, C, C++, Java, Scala, Go)

yungmsh/Galvanize-Lecture-Notes

Galvanize (Cohort 16) lecture notes

yungmsh/Heavy-Equipment-Case-Study

Heavy Equipment Case Study as part of Galvanize Cohort 16.

yungmsh/nielsen-dma

yungmsh/pipelines_and_featureunions

An in depth tutorial on sklearn's Pipeline and FeatureUnion classes.

yungmsh/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

yungmsh/yungmsh.github.io